standard
turbot/gcp_thrifty
- Detect & correct AlloyDB clusters exceeding max age
- Detect & correct long-running AlloyDB instances exceeding max age
- Detect & correct Compute addresses if unattached
- Detect & correct Compute disks attached to stopped instances
- Detect & correct Compute disks exceeding max size
- Detect & correct Compute disks if unattached
- Detect & correct Compute disks with low usage
- Detect & correct Compute engine instances exceeding max age
- Detect & correct Compute engine instances large
- Detect & correct Compute instances with low utilization
- Detect & correct Compute node groups without autoscaling
- Detect & correct Compute snapshots exceeding max age
- Detect & correct Dataproc clusters without autoscaling
- Detect & correct Kubernetes clusters exceeding max age
- Detect & correct GKE clusters without vertical pod autoscaling
- Detect & correct Logging Buckets with high retention period
- Detect & correct Redis instances exceeding max age
- Detect & correct SQL database instances exceeding max age
- Detect & correct SQL DB instances with low connection count
- Detect & correct SQL DB instances with low cpu utilization
- Detect & correct Storage buckets without lifecycle policies
- Detect & correct VPN gateways with no tunnels
Get Involved
Version
Detect & correct Compute instances exceeding max age
Overview
Compute instances can be quite costly to retain, it is also likely that after a certain point in time they're no longer required and should be cleaned up to prevent further costs.
This query trigger detects unused instances and then either sends a notification or attempts to perform a predefined corrective action.
Getting Started
By default, this trigger is disabled, however it can be configured by setting the below variables
compute_instances_exceeding_max_age_trigger_enabled
should be set totrue
as the default isfalse
.compute_instances_exceeding_max_age_trigger_schedule
should be set to your desired running schedulecompute_instances_exceeding_max_age_default_action
should be set to your desired action (i.e."notify"
for notifications or"terminate_instance"
to delete the instance or"stop_instance"
to stop the inmstance).
Then starting the server:
flowpipe server
or if you've set the variables in a .fpvars
file:
flowpipe server --var-file=/path/to/your.fpvars
Query
select concat(name, ' [', zone, '/', project, ']') as title, name as instance_name, zone, sp_connection_name as conn, projectfrom gcp_compute_instancewhere status in ('PROVISIONING', 'STAGING', 'RUNNING', 'REPAIRING') and date_part('day', now() - creation_timestamp) > 30;
Schedule
15m
Tags
category = Cost
class = unused
plugin = gcp
service = GCP/Compute